Triple

T4623324
Position Surface form Disambiguated ID Type / Status
Subject Fedora E101036 entity
Predicate stars P1956 FINISHED
Object Mario Adorf
Mario Adorf is a renowned German-Swiss actor celebrated for his prolific film and television career across European cinema since the mid-20th century.
 E456987 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mario Adorf | Statement: [Fedora, stars, Mario Adorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mario Adorf
Context triple: [Fedora, stars, Mario Adorf]
  • A. Victor Heerman
    Victor Heerman was a British-born American screenwriter and film director best known for co-writing the Academy Award–winning adaptation of "Little Women" (1933).
  • B. Peter Facinelli
    Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
  • C. Dieter Fox
    Dieter Fox is a prominent computer scientist and roboticist known for his contributions to probabilistic robotics, perception, and machine learning in autonomous systems.
  • D. Anton Lesser
    Anton Lesser is a British actor known for his work in film, television, and theatre, including notable roles in series such as "Game of Thrones," "Endeavour," and "The Crown."
  • E. Paul Lo Duca
    Paul Lo Duca is a former Major League Baseball catcher best known for his All-Star seasons with the Los Angeles Dodgers and New York Mets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mario Adorf
Triple: [Fedora, stars, Mario Adorf]
Generated description
Mario Adorf is a renowned German-Swiss actor celebrated for his prolific film and television career across European cinema since the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mario Adorf
Target entity description: Mario Adorf is a renowned German-Swiss actor celebrated for his prolific film and television career across European cinema since the mid-20th century.
  • A. Victor Heerman
    Victor Heerman was a British-born American screenwriter and film director best known for co-writing the Academy Award–winning adaptation of "Little Women" (1933).
  • B. Peter Facinelli
    Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
  • C. Dieter Fox
    Dieter Fox is a prominent computer scientist and roboticist known for his contributions to probabilistic robotics, perception, and machine learning in autonomous systems.
  • D. Anton Lesser
    Anton Lesser is a British actor known for his work in film, television, and theatre, including notable roles in series such as "Game of Thrones," "Endeavour," and "The Crown."
  • E. Paul Lo Duca
    Paul Lo Duca is a former Major League Baseball catcher best known for his All-Star seasons with the Los Angeles Dodgers and New York Mets.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa069388190b6482315708b85c2 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:12 p.m.